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Table 1 Study population, incidence rates and adjusted rate ratios of patients who developed HA-VTE and associated case fatality

From: Incidences and variations of hospital acquired venous thromboembolism in Australian hospitals: a population-based study

Characteristics

All Patients

HA-VTE

HA-VTE case fatality

N

(%)

n

(%)

IR

IRR

(95 % CI)

 

n

(%)

%

IRR

(95 % CI)

 

Admission typea

 Medical

573,042

(17.20 %)

2,565

(6.72 %)

4.5

1.00

  

245

(6.59 %)

9.6 %

1.00

  

 Surgical

2,758,635

(82.80 %)

35,596

(93.28 %)

12.9

2.28

(2.19–2.38)

d

3,471

(93.41 %)

9.8 %

1.05

(0.91–1.20)

 

Sex

 Female

1,693,109

(50.82 %)

19,805

(51.90 %)

11.7

1.00

  

1,730

(46.56 %)

8.7 %

1.00

  

 Male

1,638,568

(49.18 %)

18,356

(48.10 %)

11.2

0.93

(0.91–0.95)

d

1,986

(53.44 %)

10.8 %

1.25

(1.17–1.33)

d

Age

  > =75 years & <90

1,074,206

(32.24 %)

15,350

(40.22 %)

14.3

1.00

  

1,832

(49.30 %)

11.9 %

1.00

  

  > =18 years & <35 years

396,444

(11.90 %)

1,742

(4.56 %)

4.4

0.53

(0.50–0.56)

d

55

(1.48 %)

3.2 %

0.23

(0.17–0.30)

d

  > =35 years & <55 years

707,274

(21.23 %)

5,612

(14.71 %)

7.9

0.83

(0.81–0.86)

d

354

(9.53 %)

6.3 %

0.47

(0.41–0.52)

d

  > =55 years & <75 years

1,153,753

(34.63 %)

15,457

(40.50 %)

13.4

1.13

(1.10–1.15)

d

1,475

(39.69 %)

9.5 %

0.77

(0.72–0.83)

d

Marital status

 Married

1,803,208

(54.12 %)

20,814

(54.54 %)

11.5

1.00

  

2,089

(56.22 %)

10.0 %

1.00

  

 Single

1,372,496

(41.20 %)

15,730

(41.22 %)

11.5

0.90

(0.89–0.92)

d

1,447

(38.94 %)

9.2 %

0.91

(0.85–0.98)

c

 Unknown

155,973

(4.68 %)

1,617

(4.24 %)

10.4

0.83

(0.79–0.88)

d

180

(4.84 %)

11.1 %

1.12

(0.96–1.31)

 

Country of birth

 Australia and New Zealand

2,411,315

(72.38 %)

26,794

(70.21 %)

11.1

1.00

  

2,575

(69.29 %)

9.6 %

1.00

  

 UK, US & Canada

223,710

(6.71 %)

2,873

(7.53 %)

12.8

1.01

(0.97–1.05)

 

271

(7.29 %)

9.4 %

0.90

(0.79–1.02)

 

 Non-English Europe

317,973

(9.54 %)

4,546

(11.91 %)

14.3

0.98

(0.95–1.02)

 

493

(13.27 %)

10.8 %

0.98

(0.88–1.08)

 

 North Africa

61,595

(1.85 %)

487

(1.28 %)

7.9

0.67

(0.61–0.73)

d

47

(1.26 %)

9.7 %

1.09

(0.82–1.46)

 

 Asia

101,485

(3.05 %)

996

(2.61 %)

9.8

0.76

(0.71–0.81)

d

98

(2.64 %)

9.8 %

1.11

(0.90–1.36)

 

 Others

215,599

(6.47 %)

2,465

(6.46 %)

11.4

0.94

(0.90–0.98)

d

232

(6.24 %)

9.4 %

1.01

(0.88–1.16)

 

Quartiles of SEIFA

 1st quartile (most disadvantaged)

913,712

(27.42 %)

9,482

(24.85 %)

10.4

1.00

  

939

(25.27 %)

9.9 %

1.00

  

 2nd quartile (disadvantaged)

862,580

(25.89 %)

8,843

(23.17 %)

10.3

1.00

(0.97–1.03)

 

900

(24.22 %)

10.2 %

1.05

(0.95–1.16)

 

 3rd quartile (advantaged)

827,343

(24.83 %)

9,701

(25.42 %)

11.7

0.98

(0.95–1.01)

 

1,011

(27.21 %)

10.4 %

1.12

(1.01–1.23)

c

 4th quartile (most advantaged)

728,042

(21.85 %)

10,135

(26.56 %)

13.9

0.99

(0.95–1.03)

 

866

(23.30 %)

8.5 %

1.13

(1–1.27)

c

Length of stay

 2–4 days

1,495,477

(44.89 %)

4,803

(12.59 %)

3.2

1.00

  

567

(15.26 %)

11.8 %

1.00

  

 4–9 days

1,056,167

(31.70 %)

10,724

(28.10 %)

10.2

2.78

(2.69–2.88)

d

816

(21.96 %)

7.6 %

0.69

(0.62–0.76)

d

 Over 10 days

780,033

(23.41 %)

22,634

(59.31 %)

29.0

7.91

(7.65–8.17)

d

2,333

(62.78 %)

10.3 %

0.82

(0.74–0.90)

d

Major principal diagnostic diseasesb

 Cardiac arrhythmias

74,686

(2.24 %)

657

(1.72 %)

8.8

-

  

22

(0.59 %)

3.3 %

-

  

 Chronic pulmonary disease

129,030

(3.87 %)

853

(2.24 %)

6.6

-

  

92

(2.48 %)

10.8 %

-

  

 Coagulopathy

5,455

(0.16 %)

211

(0.55 %)

38.7

-

  

15

(0.40 %)

7.1 %

-

  

 Congestive heart failure

71,705

(2.15 %)

971

(2.54 %)

13.5

-

  

130

(3.50 %)

13.4 %

-

  

 Diabetes with chronic complication

41,956

(1.26 %)

464

(1.22 %)

11.1

-

  

58

(1.56 %)

12.5 %

-

  

 Malignancies

206,407

(6.20 %)

3,796

(9.95 %)

18.4

-

  

860

(23.14 %)

22.7 %

-

  

 Metastatic solid tumour

49,332

(1.48 %)

1,427

(3.74 %)

28.9

-

  

368

(9.90 %)

25.8 %

-

  

 Peripheral vascular disease

26,225

(0.79 %)

425

(1.11 %)

16.2

-

  

61

(1.64 %)

14.4 %

-

  

 Pulmonary circulation disorders

1,520

(0.05 %)

73

(0.19 %)

48.0

-

  

10

(0.27 %)

13.7 %

-

  

 Renal disease

8,736

(0.26 %)

103

(0.27 %)

11.8

-

  

14

(0.38 %)

13.6 %

-

  

 Rheumatic disease

9,811

(0.29 %)

176

(0.46 %)

17.9

-

  

9

(0.24 %)

5.1 %

-

  

Hospital type

 Public

2,704,301

(81.17 %)

31,160

(81.65 %)

11.5

1.00

  

3,362

(90.47 %)

10.8 %

1.00

  

 Private

627,376

(18.83 %)

7,001

(18.35 %)

11.2

1.03

(0.85–1.25)

 

354

(9.53 %)

5.1 %

0.55

(0.43–0.71)

d

Peer hospital groups-Public

 Principal referral (A1)

1,315,038

(48.63 %)

19,134

(61.41 %)

14.6

1.00

  

2,069

(61.54 %)

10.8 %

1.00

  

 Ungrouped acute (A3)

73,569

(2.72 %)

765

(2.46 %)

10.4

0.67

(0.46–0.95)

c

132

(3.93 %)

17.3 %

2.71

(1.48–4.97)

d

 Major metro- & non-metropolitan (B)

839,827

(31.06 %)

7,958

(25.54 %)

9.5

0.73

(0.60–0.89)

d

817

(24.30 %)

10.3 %

1.22

(0.91–1.64)

 

 District group 1 (C1)

245,005

(9.06 %)

1,933

(6.20 %)

7.9

0.64

(0.51–0.81)

d

198

(5.89 %)

10.2 %

1.75

(1.22–2.50)

d

 District group 2 (C2)

230,862

(8.54 %)

1,370

(4.40 %)

5.9

0.48

(0.39–0.60)

d

146

(4.34 %)

10.7 %

2.06

(1.44–2.95)

d

Peer hospital groups-Private

 Major m

409,555

(65.28 %)

4,961

(70.86 %)

12.1

1.00

  

213

(60.17 %)

4.3 %

1.00

  

 District (22)

217,821

(34.72 %)

2,040

(29.14 %)

9.4

1.03

(0.64–1.64)

 

141

(39.83 %)

6.9 %

1.36

(0.79–2.34)

 

Local health district

 Metropolitan

2,300,073

(69.04 %)

29,779

(78.04 %)

12.9

1.00

  

2,814

(75.73 %)

9.4 %

1.00

  

 Rural & Regional NSW

1,031,604

(30.96 %)

8,382

(21.96 %)

8.1

0.69

(0.59–0.81)

d

902

(24.27 %)

10.8 %

1.18

(0.95–1.45)

 

Total

3,331,677

 

38,161

 

11.4

   

3,716

 

9.7 %

   
  1. 111,493 (3.2 %) cases were excluded due to missing items
  2. Incidence rates (IR) are crude and reported per 1000 patients
  3. Incidence rate ratios (IRR) and related confident intervals (CI) were obtained using a Poisson mixed model and adjusted for patient and hospital characteristics
  4. aIRRs were not adjusted for length of stay due to highly unbalanced distributions for medical versus surgical admissions
  5. bNo RR is reported since this characteristic has not been included in the Poisson mixed model
  6. cSignificant at 5 %; dsignificant at 1 %